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Hugging Face

Infrastructure · chipsUnited States

A public marketplace where AI models are gathered and distributed. Rather than a company that builds models itself, it functions as "the GitHub of models," hosting publicly available models built by others. The Hub hosts a wide range of open-weight models, from transformer-based models to image and speech generation models. The structure is such that various providers plug in inference infrastructure for users who want to download and run models themselves, and in August 2026, Baseten joined this list as an inference provider for Hugging Face.

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2026.08.172026.09.15 · High 3 · Low 6 · Now 6

Hugging Face · Related stories

Business

NVIDIA Acquires Hugging Face for $12.9 Billion

NVIDIA has agreed to buy Hugging Face, the largest repository of open models, for $12,930,300,000. Why did a company that turned down a $500 million investment last year hand over the whole company just a year later?

By 김현국

30

Hello Alien

AI Agents Are Overeager New Hires, Not Villains

From the perspective of someone who arrived on Earth long ago and has lived here ever since, Earth's approach to handling AI agents goes wrong in exactly the same spot as its approach to onboarding new hires.

By 김현국

270

Hugging Face · Recent announcements

  1. 470StudentSim: Training LLM-based Student Simulators2026-08-31
  2. 346Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving2026-08-30
  3. 185Agentic Game Development as a Verifiable Trajectory Data Engine for Scaling World Models2026-08-25
  4. 169VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction2026-08-25
  5. 137PAWBench: How Far Are We from Probabilistically Aligned World Modeling?2026-08-26
  6. 7,881🤗💚영상2026-09-03
  7. 105UrbanGround: From Local Perception to Spatial Agency in a Real-Scale City2026-08-26
  8. 98Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement2026-08-30
  9. 93DreamX-Creator: Democratizing Native Audio-Video Generation at 2K Resolution2026-08-30
  10. 94LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering2026-08-27
  11. 77SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers2026-08-31
  12. 72Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling2026-08-30
  13. 72Self-OPD: On-Policy Distillation for Flow Matching Models without Teacher2026-08-26
  14. 73TTPO: Test-Time Policy Optimization2026-08-26
  15. 68Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models2026-08-26
  16. 63What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents2026-08-26
  17. 59GenFirst: Generation Before Reconstruction for Stable End-to-End Latent Generative Modeling2026-08-28
  18. 56Agentic Artifact Creation: Systems, Evaluation, Principles, and Opportunities2026-08-27
  19. 56UI-Venus-2 Technical Report2026-08-26
  20. 47VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning2026-08-25
  21. 42H3-World: Turning Language Understanding into World Control2026-08-31
  22. 43Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning2026-08-26
  23. 40ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-training2026-08-30
  24. 39Normalized Low-Rank Adaptation2026-08-30
  25. 35PaperGym: Rubric-Centered Evolution for Research-Plan Generation2026-08-30